CONFIGURE: A pipeline for identifying context specific regulatory modules from gene expression data and its application to breast cancer

CONFIGURE: A pipeline for identifying context specific regulatory modules from gene expression data and its application to breast cancer

Abstract Background Gene expression data is widely used for identifying subtypes of diseases such as cancer. Differentially expressed gene analysis and gene set enrichment analysis are widely used for identifying biological mechanisms at the gene level and gene set level, respectively. However, the...

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Bibliographic Details
Main Authors: Sungjoon Park, Doyeong Hwang, Yoon Sun Yeo, Hyunggee Kim, Jaewoo Kang
Format: Article
Language:English
Published: BMC 2019-07-01
Series:BMC Medical Genomics
Subjects:
Context specific regulatory module
Gene regulatory network inference
Single sample GSEA
Feature importance score
Breast cancer subtype
Online Access:http://link.springer.com/article/10.1186/s12920-019-0515-6

Internet

http://link.springer.com/article/10.1186/s12920-019-0515-6

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